Amazon SageMaker HyperPod Engineers

Company Description Clovertex specializes in designing, building, and migrating high-performance computing (HPC) and data platforms for scientific research using AWS technologies. The team has proven migration patterns for widely used research applications such as Single Cell Sequencing, GROMACS, NAMD, ANSYS, RELION, cryo-EM, cryoSPARC, and NONMEM. Clovertex’s methodology focuses on optimizing price and performance for all-cloud and hybrid-cloud systems, helping research organizations modernize their infrastructure efficiently. In addition to HPC solutions, Clovertex delivers services for large-scale big data platforms, data lakes, and AI/ML frameworks, offering end-to-end support for data-intensive workloads and innovation.

Role Description The Amazon SageMaker HyperPod Engineer is a full-time, on-site role based in Hyderabad. This role involves designing, deploying, and managing SageMaker HyperPod environments to support large-scale AI/ML workflows for scientific and research workloads. Day-to-day tasks include configuring clusters, optimizing training and inference pipelines, monitoring performance, and implementing security and compliance best practices in AWS. The engineer collaborates with data scientists, ML engineers, and DevOps teams to integrate HyperPod solutions with existing HPC and data platforms, troubleshoot issues, and improve reliability and scalability. The role also includes documenting architectures, creating automation scripts, and contributing to best practices and reusable patterns for future projects.

Qualifications

• Candidates should possess strong AWS skills, including Amazon SageMaker (HyperPod), EC2, S3, networking basics, and IAM security controls.
• Candidates should possess experience with machine learning workflows, such as model training, distributed training, experiment tracking, and MLOps practices.
• Candidates should possess infrastructure and automation skills, including Infrastructure as Code (e.g., AWS CloudFormation, Terraform), scripting (Python or Bash), and CI/CD pipelines.
• Candidates should possess fundamental Linux administration skills, including system monitoring, resource management, and troubleshooting in HPC or cloud environments.
• Candidates should possess strong problem-solving skills, the ability to collaborate in cross-functional teams, and clear written and verbal communication abilities.
• Relevant experience with high-performance computing, big data platforms, or large-scale AI/ML frameworks is highly beneficial.
• Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.